R is a dynamic language for statistical computing that combines lazy
functional features and object-oriented programming. This rather unlikely
linguistic cocktail would probably never have been prepared by computer
scientists, yet the language has become surprisingly popular. With millions
of lines of R code available in repositories, we have an opportunity to
evaluate the fundamental choices underlying the R language design. Using a
combination of static and dynamic program analysis we can assess the impact
and success of different language features.